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Optimal panel unit root testing with covariates

Author

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  • Artūras Juodis
  • Joakim Westerlund

Abstract

SummaryThis paper provides asymptotic optimality results for panel unit root tests with covariates by deriving the Gaussian power envelope. The main conclusion is that the use of covariates holds considerable promise in the panel data context, much more so than in the time series context. In fact, the use of the covariates not only leads to increased power, but can actually have an order effect on the shrinking neighbourhoods around unity for which power is non-negligible.

Suggested Citation

  • Artūras Juodis & Joakim Westerlund, 2019. "Optimal panel unit root testing with covariates," The Econometrics Journal, Royal Economic Society, vol. 22(1), pages 57-72.
    • Handle: RePEc:oup:emjrnl:v:22:y:2019:i:1:p:57-72.
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    File URL: http://hdl.handle.net/10.1111/ectj.12118
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    Citations

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    Cited by:

    1. Artūras Juodis, 2022. "A regularization approach to common correlated effects estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 788-810, June.
    2. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.
    3. Wichert, Oliver, 2022. "Unit-Root tests in high-dimensional panels," Other publications TiSEM f926ab90-382b-4aa5-9532-8, Tilburg University, School of Economics and Management.

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